AI Solution Architect
AI Solution Architect
ant international- Posted 13 days ago
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Job Description
Work directly with enterprise customers to identify AI opportunities, design solutions, and lead technical delivery. Collaborate with sales, product, and engineering teams from discovery and technical pre-sales through implementation, deployment, and customer adoption.
Key Responsibilities
- Lead customer discovery workshops to understand business objectives, technical requirements, and data readiness.
- Design AI solutions covering models, data pipelines, enterprise integrations, security, scalability, and cost.
- Support technical pre-sales through presentations, demonstrations, solution proposals, RFI/RFP responses, and cost estimates.
- Lead proofs of concept with agreed scope, timelines, success criteria, and measurable business outcomes.
- Own technical delivery through implementation planning, integration, testing, production deployment, and customer acceptance.
- Coordinate customer and internal teams, manage technical risks and dependencies, and complete documentation, knowledge transfer, and operational handover.
Job Requirement
- At least 6 years of relevant technical experience.
- Experience designing and delivering AI solutions, including experience taking an enterprise customer solution into production.
- Proven experience engaging external enterprise customers in solution architecture, technical consulting, or technical pre-sales.
- Practical knowledge of LLMs, retrieval-augmented generation (RAG), prompt design, model evaluation, agent architectures, and AI security.
- Proficiency in API integration, with experience on at least one major cloud platform.
- Strong presentation, stakeholder management, and delivery coordination skills; able to communicate with executives and technical teams.
- Relevant degree or equivalent practical experience.
- Proficient in English and Mandarin.
More Info
Key Skills
retrieval-augmented generation (RAG)
data pipelines
LLMs
enterprise integrations
model evaluation
AI security
prompt design
agent architectures
About Company
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Api Integration, Technical Consulting, AI Solution Architecture, AI Security, AI Agent Architectures, AI Engineering, Model Evaluation, Prompt Engineering
Skills:
Apis, Data Protection, MLops, Azure Machine Learning, LLMOps, Azure OpenAI, Azure AI Foundry, enterprise integration patterns, Zero Trust, content safety, event-driven architecture, Azure AI Search, Microsoft Fabric, AI security
Skills:
MLops, Azure Machine Learning, vector search, agentic architecture, LLMOps, generative AI, design governance, Azure OpenAI, Azure AI Foundry, architecture assurance, RAG, Azure AI Search, Microsoft Fabric, AI security
Skills:
containerization , bedrock , Microservices, Graphql, REST, Virtual Machines, Airflow, data pipelines, cloud-based AI services, MLflow, model orchestration, Retrieval-Augmented Generation, GRPC, LangGraph, GraphRAG, AI platform integration, Kubeflow, MLOps tools, API-driven systems, cloud-native architectures, API ecosystems, end-to-end AI workflows, LangChain, AI Foundry, Microsoft Azure ML, AWS SageMaker, CI CD pipelines, RAG, serving APIs
Skills:
Python, Data Governance, AI agent engineering, RAG architecture, BI Analytics, data infrastructure, Agent workflow orchestration, Multimodal data processing pipelines, Multimodal AI systems, Enterprise AI agent applications, Vector database selection, Large model technologies, Retrieval optimization